Retail operators are adopting agentic AI systems that can reason, decide, and act on real‑world tasks such as inventory management, returns processing, and promotional updates. These autonomous agents promise faster decisions and tighter integration across storefront and back‑office tools. At the same time, industry leaders warn that the same capabilities can expose retailers to prompt manipulation, tool misuse, data leakage, and automation drift. Experts recommend a lifecycle approach that includes clear boundaries, threat modeling, hardened prompts, sandboxed execution, and continuous monitoring to reap the benefits while keeping operations secure.
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